Literature DB >> 12032786

A statistical model to predict nonsurvival in congenital diaphragmatic hernia.

Shelley Cypher Springer1, Dawn Fleming, Thomas C Hulsey.   

Abstract

OBJECTIVE: To develop a predictive model using echocardiographic indices to identify nonsurvivors from survivors in preoperative patients with congenital diaphragmatic hernia (CDH). STUDY
DESIGN: Eight cases of CDH, with a mortality rate of 38%, underwent echocardiographic study before surgical repair. Left ventricular mass (LVMASS) using the area-length method of Wyatt et al. and fractional shortening (FS) by M-mode measurements were determined.
RESULTS: We identified a nonlinear nonoverlapping distribution that predicted nonsurvivors from survivors, p=0.04. Multiple regression analysis demonstrated the quantity (LVMASS x FS)(1/2) to be correlated with nonsurvival with a coefficient of determination r(2)=0.55. Comparison of the means of the quantity (LVMASS x FS)(1/2) for the two groups suggested two distinct populations, p=0.04.
CONCLUSION: The mathematical quantity (LVMASS x FS)(1/2) calculated from echocardiographic measurements obtained preoperatively in babies with CDH may predict nonsurvival despite maximal intervention.

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Year:  2002        PMID: 12032786     DOI: 10.1038/sj.jp.7210681

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  1 in total

1.  Early neonatal echocardiographic findings in an experimental rabbit model of congenital diaphragmatic hernia.

Authors:  P H Manso; R L Figueira; C M Prado; F L Gonçalves; A L B Simões; S G Ramos; L Sbragia
Journal:  Braz J Med Biol Res       Date:  2015-02-03       Impact factor: 2.590

  1 in total

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